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A researcher is comparing the effectiveness of three different therapies on anxiety levels within the same group of participants. Which type of data and experimental design BEST aligns with this scenario for selecting a statistical test?

  • Nominal data with a within-subjects design.
  • Ordinal data with a between-subjects design.
  • Nominal data with a between-subjects design.
  • Interval/ratio data with a within-subjects design. (correct)

In which situation would a nonparametric statistical test be MOST appropriate?

  • Analyzing customer satisfaction ratings on a 1-5 scale, where the distribution is heavily skewed. (correct)
  • Comparing the means of two groups with equal sample sizes and homogeneity of variance.
  • Analyzing reaction time data that is normally distributed.
  • Analyzing exam scores from a large sample, where the data are interval and normally distributed

In a statistical test, what BEST describes the role of degrees of freedom (df)?

  • They represent the number of participants needed to achieve statistical significance.
  • They determine the probability of making a Type I error.
  • They indicate the extent to which components in a design are free to vary, influencing the critical value for the test statistic. (correct)
  • They quantify the magnitude of the effect size observed.

A researcher conducts an independent samples t-test and obtains a p-value of 0.03. Assuming a significance level (alpha) of 0.05, what is the MOST appropriate conclusion?

<p>The null hypothesis should be rejected. (D)</p> Signup and view all the answers

When is it MOST appropriate to use a nonparametric test instead of a parametric test?

<p>When the data is not normally distributed or the data are nominal or ordinal. (D)</p> Signup and view all the answers

In an independent t-test, what condition regarding the number of levels of the independent variable (IV) must be met?

<p>The IV must have exactly two levels. (A)</p> Signup and view all the answers

Which of the following is NOT an assumption that must be met for an independent t-test?

<p>Samples are drawn non-randomly. (B)</p> Signup and view all the answers

A researcher wants to study whether a new teaching method improves student test scores. Students are randomly assigned to either a group that receives the new method or a group that receives the traditional method. What type of design is this?

<p>Between-subjects design (B)</p> Signup and view all the answers

A researcher is investigating the effect of a new drug on reaction time. They measure each participant's reaction time before and after taking the drug. What kind of design is this?

<p>Within-subject design (D)</p> Signup and view all the answers

A study aims to determine if attending a workshop on stress management reduces anxiety levels. Participants are randomly assigned to either attend the workshop or not. Anxiety levels are measured using a standardized test. What is the Independent Variable (IV) and Dependent Variable (DV) in this study?

<p>IV: Workshop attendance; DV: Anxiety levels (D)</p> Signup and view all the answers

In a study examining the impact of hearing loss type (conductive, sensorineural, mixed) on speech perception in noise, what statistical analysis is most appropriate, considering the pre-existing groups and the desire to control for Type I error?

<p>One-way ANOVA (B)</p> Signup and view all the answers

Researchers are comparing vocabulary skills in children with Down Syndrome (DS), Developmental Language Disorder (DLD), Fragile X, and Typically Developing (TD) matched on mental age. After conducting a one-way ANOVA, the results are significant. What is the next appropriate step to determine which specific groups differ significantly from each other?

<p>Conduct post-hoc tests. (B)</p> Signup and view all the answers

In a one-way ANOVA, if the total degrees of freedom (df) is 24 and the group degrees of freedom is 3, what is the error degrees of freedom?

<p>21 (B)</p> Signup and view all the answers

A researcher conducts a one-way ANOVA and obtains a significant F-statistic. Based on this result, which of the following conclusions can be accurately drawn?

<p>There is at least one statistically significant difference between the group means. (D)</p> Signup and view all the answers

When conducting post-hoc tests following a significant one-way ANOVA, which type of comparison provides the most statistical power but also carries the highest risk of Type I error?

<p>Planned orthogonal contrasts (A)</p> Signup and view all the answers

A researcher wants to compare the effectiveness of four different interventions on reducing anxiety levels. After conducting a one-way ANOVA, they find a significant difference between the groups. Which post-hoc test is generally considered the most conservative, offering the greatest protection against Type I error?

<p>Scheffé (C)</p> Signup and view all the answers

Researchers are investigating whether the severity of stuttering (mild, moderate, severe, profound) influences naive listeners' judgments of intelligence (below average, low average, average, high average, above average). What statistical analysis is MOST appropriate for this study?

<p>Non-parametric analysis (A)</p> Signup and view all the answers

In a study comparing the vocabulary skills of children with DLD, DS, Fragile X, and TD, all matched on mental age, what is the independent variable?

<p>Group membership (DLD, DS, Fragile X, TD) (D)</p> Signup and view all the answers

In experimental group designs, what is the primary advantage of random assignment?

<p>It balances intrinsic variability among participants between groups. (D)</p> Signup and view all the answers

What is a key limitation of quasi-experimental designs compared to true experimental designs?

<p>Quasi-experimental designs have reduced internal validity. (A)</p> Signup and view all the answers

What is the primary concern when a study uses 'treatment as usual' as a control condition without clearly defining it?

<p>The actual treatment received by the control group is ambiguous. (C)</p> Signup and view all the answers

In between-subjects designs, how are multiple measures typically handled?

<p>All comparisons are made between separate groups on each measure. (B)</p> Signup and view all the answers

Which scenario exemplifies a quasi-experimental design with no random assignment?

<p>Comparing the outcomes of a new teaching method in one school to a standard method in another school. (A)</p> Signup and view all the answers

Why my researchers choose to implement matching groups when using quasi-experimental design?

<p>To increase validity by equating groups on key parameters.. (D)</p> Signup and view all the answers

In the context of group experimental designs, inferential statistical analysis is used to determine whether observed differences between groups are:

<p>Due to chance or random error. (A)</p> Signup and view all the answers

In an independent t-test, what does the t-statistic primarily reflect?

<p>The relationship between the group means and their variances. (B)</p> Signup and view all the answers

What is the purpose of conducting an ANOVA instead of multiple t-tests?

<p>To provide a more efficient test of differences while partitioning the alpha level. (C)</p> Signup and view all the answers

What is the primary difference between 'N' and 'n' in the context of between-subjects designs?

<p>'N' is the total number of participants in the study, while 'n' is the number of participants in each group. (A)</p> Signup and view all the answers

If an independent t-test reveals a t-statistic larger than the critical value at α = 0.05, what conclusion can be drawn?

<p>The null hypothesis (H0) is rejected, and the alternative hypothesis (H1) is accepted, suggesting a significant difference. (C)</p> Signup and view all the answers

A researcher finds a p-value of 0.08 when comparing two groups. How might they interpret this result, according to the information provided?

<p>The result could be interpreted as a trend or approaching significance. (C)</p> Signup and view all the answers

What is the defining characteristic of a within-subjects design?

<p>Each participant is measured more than once on the same measure. (A)</p> Signup and view all the answers

Which non-parametric test is most appropriate for comparing two independent groups when the dependent variable is measured on an ordinal scale?

<p>Mann-Whitney U test (C)</p> Signup and view all the answers

In the context of hypothesis testing with an independent t-test, what does the null hypothesis (H0) typically state?

<p>The means of the two groups are equal. (C)</p> Signup and view all the answers

Which statistical test is most suitable for determining if there is a relationship between living in different communities and having cancer?

<p>Chi-Square test for Two Independent Samples (A)</p> Signup and view all the answers

In a one-way ANOVA, which assumption relates to the distribution of data within each group being compared?

<p>Normal Distribution (B)</p> Signup and view all the answers

Given the study: Staff of ½ nursing homes get training, ½ do not, randomly assign nursing homes. What does the number of days clients wear hearing aids represent?

<p>Dependent Variable (A)</p> Signup and view all the answers

In a within-subjects design, what is a primary concern that researchers must address?

<p>Controlling for order or carry-over effects (A)</p> Signup and view all the answers

What distinguishes a mixed-subjects design from a between-subjects design?

<p>A mixed-subjects design includes both between-subjects and within-subjects variables, while a between-subjects design only includes between-subjects variables. (A)</p> Signup and view all the answers

A researcher is studying the effect of two different types of cognitive training on memory performance. Participants are divided into two groups; one receives training type A, and the other receives training type B. Memory performance is measured before and after the training. What type of experimental design is this?

<p>Mixed-subjects design (C)</p> Signup and view all the answers

In a study comparing the effectiveness of two different hearing aids (HA-1 and HA-2) on speech perception, what strategy is used in a within-subjects design to control for order effects?

<p>Participants use both HA-1 and HA-2, with half using HA-1 first and the other half using HA-2 first. (C)</p> Signup and view all the answers

A study investigates the impact of different contexts (telephone, presentation, conversation) on the number of syllables stuttered. If each participant is recorded in all three contexts, what type of design is being employed?

<p>Within-subjects design (C)</p> Signup and view all the answers

A researcher wants to examine the effect of a new drug on reaction time. To do this, they measure each participant's reaction time before and after administering the drug. This is an example of what type of study design, and what is the independent variable (IV)?

<p>Within-subjects design; IV: time (before vs. after drug) (B)</p> Signup and view all the answers

In a study examining the impact of a 10-minute meditation treatment on stuttering, some participants receive the treatment, while others do not. All participants are recorded pre- and post-meditation in three contexts. Which of the following correctly identifies the independent variables?

<p>Treatment group (between subjects), time (within subjects), context (within subjects) (B)</p> Signup and view all the answers

What is the key distinction between longitudinal and cross-sectional studies?

<p>Longitudinal studies involve observing the same subjects over a period, while cross-sectional studies study different individuals representing different age groups or cohorts at a single point in time. (A)</p> Signup and view all the answers

What is the primary difference between a prospective and a retrospective study?

<p>Prospective studies design the study before data collection, while retrospective studies formulate a question and then gather pre-existing data. (A)</p> Signup and view all the answers

A researcher is interested in studying the progression of Alzheimer's disease. They enroll a group of participants who are newly diagnosed and follow them for 10 years, collecting data on cognitive function, brain imaging, and biomarkers annually. What type of study is this?

<p>Longitudinal study (D)</p> Signup and view all the answers

When is a non-parametric statistical test MOST appropriate to use?

<p>When the data is non-normally distributed or the dependent variable is ordinal. (B)</p> Signup and view all the answers

How do unequal sample sizes ('n') typically influence the choice between parametric and nonparametric tests?

<p>Unequal sample sizes may lead to considering nonparametric tests, especially with violations of other assumptions. (D)</p> Signup and view all the answers

Which statement BEST describes the role of degrees of freedom (df) in statistical testing?

<p>Degrees of freedom are used to determine the critical value for a test statistic to achieve a desired alpha level. (D)</p> Signup and view all the answers

In the context of statistical tests, choosing between parametric and non-parametric tests, what does 'homogeneity of variance' refer to?

<p>The assumption that the different groups have a similar spread or variability in their scores. (C)</p> Signup and view all the answers

How do large sample sizes ('N') typically affect the selection between parametric and nonparametric tests?

<p>Large sample sizes allow for the use of parametric tests even if the data is not perfectly normally distributed. (D)</p> Signup and view all the answers

In a study comparing the effectiveness of a new therapy to a standard therapy, what design element is essential for classifying it as a between-subjects design?

<p>Participants are randomly assigned to receive either the new therapy or the standard therapy. (D)</p> Signup and view all the answers

A researcher aims to investigate the impact of different types of feedback on employee performance. They randomly assign employees to receive either positive feedback, negative feedback, or no feedback. What statistical test is most appropriate for analyzing the data from this study?

<p>One-way ANOVA (B)</p> Signup and view all the answers

Which scenario BEST illustrates the application of an independent t-test?

<p>Comparing the exam scores of students taught using Method A versus students taught using Method B. (D)</p> Signup and view all the answers

In the context of an independent t-test, what is meant by the assumption of 'homogeneity of variance'?

<p>The variances of the two groups are approximately equal. (A)</p> Signup and view all the answers

A researcher investigates whether providing access to a mindfulness app for one month improves sleep quality. Half of the participants are randomly assigned to use the app, while the other half receives no intervention. The number of hours slept each night is tracked. What are the Independent Variable (IV) and Dependent Variable (DV) in this study?

<p>IV: Group assignment; DV: Number of hours slept (A)</p> Signup and view all the answers

When conducting a Hotelling's T2 test, what conditions related to independent groups and dependent variables (DVs) must be met?

<p>Two independent groups and more than one DV. (A)</p> Signup and view all the answers

Following a significant MANOVA result, why is it important to conduct follow-up post hoc tests or univariate ANOVAs?

<p>To determine which specific dependent variables contributed significantly to the overall difference between groups. (A)</p> Signup and view all the answers

A researcher uses a MANOVA to compare the effects of three different aural rehabilitation programs (no rehab, group rehab, telepractice rehab) on both knowledge of hearing aid features and compliance (measured in hours of use). What do the aural rehabilitation programs and the knowledge/compliance represent?

<p>The aural rehabilitation programs are the independent variable, and knowledge/compliance are the dependent variables. (C)</p> Signup and view all the answers

In a MANOVA comparing the expressive vocabulary and MLU of children with HFA, S-P, Down syndrome, and Fragile X, what statistical test would be MOST suitable for follow-up pairwise comparisons of the groups for a specific dependent variable, while controlling for Type I error?

<p>Independent samples t-tests with Bonferroni correction. (B)</p> Signup and view all the answers

In the context of multivariate analyses, such as MANOVA, what is the primary reason for using multiple dependent variables (DVs) simultaneously rather than conducting separate univariate analyses (e.g., ANOVAs) for each DV?

<p>To account for the correlations among the DVs and provide a more comprehensive understanding of group differences. (A)</p> Signup and view all the answers

In an independent t-test, if the calculated t-statistic is smaller than the critical value at a significance level of α = 0.05, what is the appropriate conclusion?

<p>Fail to reject the null hypothesis; there is no significant difference between the means of the two groups. (A)</p> Signup and view all the answers

A researcher is comparing the effectiveness of a new therapy technique to 'treatment as usual' in different nursing homes, and randomly assigns the training. What type of research design does this best exemplify?

<p>Quasi-experimental design (A)</p> Signup and view all the answers

A study compares the number of days clients wear hearing aids in two different nursing homes. Data analysis reveals a p-value of 0.06. What is the most appropriate interpretation of this result?

<p>There is a trend toward a difference in hearing aid usage, but it does not reach statistical significance at α = 0.05. (D)</p> Signup and view all the answers

When conducting an independent t-test, what is represented by the degrees of freedom (df)?

<p>The number of scores in the sample that are free to vary given the known parameters. (D)</p> Signup and view all the answers

A researcher aims to investigate if living in different communities is related to the percentage of individuals diagnosed with a specific type of cancer. Which statistical test is most suitable for analyzing this relationship?

<p>Chi-Square test (C)</p> Signup and view all the answers

In a one-way ANOVA, what assumption relates to the variance (or spread) of data across different groups being approximately equal?

<p>Homogeneity of variance (B)</p> Signup and view all the answers

A researcher is investigating whether the type of hearing loss (conductive, sensorineural, or mixed) impacts an individual's speech discrimination skills. What statistical test is most appropriate for analyzing these data?

<p>One-way ANOVA (C)</p> Signup and view all the answers

What is the primary advantage of using a one-way ANOVA compared to conducting multiple separate t-tests when comparing the means of more than two groups?

<p>ANOVA reduces the risk of Type I error by controlling the overall alpha level. (A)</p> Signup and view all the answers

In a study comparing speech perception in noise among individuals with moderate conductive, sensorineural, and mixed hearing loss, what is the most appropriate statistical test to initially determine if there are significant differences between the groups?

<p>One-way ANOVA (D)</p> Signup and view all the answers

Researchers are investigating vocabulary skills in children with DLD, DS, Fragile X, and TD, matched on mental age. After a significant one-way ANOVA, what is the PRIMARY reason for conducting post-hoc tests?

<p>To determine which specific groups differ significantly from each other (B)</p> Signup and view all the answers

In a one-way ANOVA comparing four groups, if the total degrees of freedom is 47, what is the error degrees of freedom?

<p>43 (A)</p> Signup and view all the answers

Following a significant one-way ANOVA, a researcher wants to use a post-hoc test that offers a good balance between statistical power and control of Type I error. Which post-hoc test is MOST suitable in this scenario?

<p>Tukey HSD (D)</p> Signup and view all the answers

In a study analyzing the relationship between the severity of stuttering (mild, moderate, severe, profound) and naive listeners' judgments of intelligence (below average, low average, average, high average, above average), what statistical test is MOST appropriate?

<p>Non-parametric Analysis (A)</p> Signup and view all the answers

In a study investigating the impact of hearing loss type (conductive, sensorineural, mixed) on speech perception, what BEST describes the nature of the independent variable?

<p>The independent variable is a pre-existing attribute of the participants. (A)</p> Signup and view all the answers

A researcher is investigating the effect of a new therapy technique on reducing stuttering events during a speech task. The number of stuttering events is recorded before and after the therapy for each participant. What would be the MOST appropriate null hypothesis (H0) for a one-way ANOVA in this context?

<p>There is no difference (i.e., the observed differences between a set of means are no greater than expected by chance alone). (C)</p> Signup and view all the answers

When conducting an ANOVA, why is it important to control for multiple comparisons if the initial F-test is significant?

<p>To reduce the probability of making at least one Type I error across all comparisons. (A)</p> Signup and view all the answers

In a within-subjects design, what is a primary advantage?

<p>It requires fewer participants compared to between-subjects designs because each participant contributes data for all conditions. (D)</p> Signup and view all the answers

How does a mixed-subjects design differ from a between-subjects design?

<p>A mixed-subjects design incorporates both between-subject and within-subject variables, while a between-subjects design only includes between-subject variables. (D)</p> Signup and view all the answers

A researcher is investigating the impact of two different teaching methods on student performance. One group of students receives Method A, while another group receives Method B. Student performance is measured at the beginning, middle, and end of the semester. What type of experimental design is this?

<p>Mixed-subjects design (A)</p> Signup and view all the answers

In a study comparing the effectiveness of three different types of therapy on reducing anxiety, what strategy could be implemented in a within-subjects design to control for order effects?

<p>Counterbalancing the order in which participants receive the therapies (e.g., some receive therapy A first, others therapy B, etc.). (A)</p> Signup and view all the answers

A study investigates the impact of background noise (quiet, moderate, loud) on reading comprehension. If each participant is tested under all three noise conditions, what type of design is being employed?

<p>Within-subjects design (C)</p> Signup and view all the answers

A researcher is studying the impact of a new drug on cognitive function. They measure each participant's cognitive function before and after administering the drug. This is an example of what type of study design, and what is the independent variable (IV)?

<p>Within-subjects design; IV: Time (before vs. after drug) (C)</p> Signup and view all the answers

In a study examining the impact of a mindfulness app on stress levels, some participants use the app daily, while others do not. All participants complete a stress assessment weekly for a month. Which of the following correctly identifies the independent variables?

<p>IV between: Mindfulness app usage; IV within: Time (weekly stress assessments). (A)</p> Signup and view all the answers

A researcher is interested in studying the long-term effects of early childhood language exposure on reading comprehension in adolescence. They recruit a group of kindergartners and assess their language skills annually until they reach high school, measuring their reading comprehension at ages 10, 13, and 16. What type of study is this?

<p>Longitudinal study (A)</p> Signup and view all the answers

In what situation would a researcher MOST likely choose a non-parametric statistical test over a parametric test?

<p>When the data violates the assumption of homogeneity of variance. (A)</p> Signup and view all the answers

How does the sample size ('N') generally influence the decision between using parametric and non-parametric tests?

<p>Large 'N' generally allows for the use of parametric tests, even if assumptions are slightly violated. (A)</p> Signup and view all the answers

A researcher is designing a study and anticipates that the data will NOT meet the assumptions of normality. Which factor would MOST strongly argue against using a parametric test, even with a relatively large sample size?

<p>The dependent variable is measured on an ordinal scale. (C)</p> Signup and view all the answers

In the context of statistical tests, what does 'degrees of freedom' (df) MOST directly influence?

<p>The critical value needed to determine statistical significance. (D)</p> Signup and view all the answers

How do unequal sample sizes ('n') in different groups MOST influence the selection between parametric and non-parametric tests, assuming other assumptions are reasonably met?

<p>Parametric tests can still be used with unequal 'n', but adjustments to degrees of freedom or the test statistic may be necessary. (C)</p> Signup and view all the answers

In a factorial design study examining the effects of hearing aid technology (two levels: A and B) and noise level (three levels: low, medium, high) on speech recognition scores, how many independent variables are being investigated?

<p>Two, with a total of five levels. (D)</p> Signup and view all the answers

A study investigates the impact of two different treatments (Treatment A and Treatment B) on both articulation accuracy and speech intelligibility. What type of design is this?

<p>Multivariate design. (A)</p> Signup and view all the answers

How does an increase in degrees of freedom (df) typically affect the critical value of a statistical test, assuming all other factors remain constant?

<p>It decreases the critical value, making it easier to achieve statistical significance. (B)</p> Signup and view all the answers

A researcher is investigating the effects of two independent variables – therapy type (A vs. B) and age group (child vs. adult) - on a single dependent variable (communication effectiveness). What type of design is being used?

<p>Univariate factorial design (C)</p> Signup and view all the answers

In a study comparing language skills in children with autism spectrum disorder (ASD) and typically developing (TD) children, what additional variable would make this a factorial design?

<p>Also including the variable of socioeconomic status (high vs. low). (C)</p> Signup and view all the answers

A study is designed to investigate the effect of a new teaching method on student test scores. Students are randomly assigned to either a group that receives the new method or a group that receives the traditional method. The assumption of equal 'n' refers to:

<p>The number of students in each group should be approximately equal. (D)</p> Signup and view all the answers

Which of the following study designs is MOST appropriately analyzed using an independent t-test?

<p>Comparing the number of errors on a memory task between a group receiving a drug and a group receiving a placebo. (C)</p> Signup and view all the answers

In an independent t-test, a researcher finds that the assumption of homogeneity of variance is violated. What is the MOST appropriate course of action?

<p>Transform the data or use a modified t-test that does not assume equal variances (e.g., Welch's t-test). (A)</p> Signup and view all the answers

A researcher is investigating whether attending a parent information night leads to fewer missed appointments. They randomly assign parents to either attend the information night or not and track the number of missed appointments over the year. What are the independent and dependent variables in this study?

<p>IV: Attendance at the information night; DV: Number of missed appointments (C)</p> Signup and view all the answers

Which research question is BEST suited for analysis using an independent t-test?

<p>Does a new medication reduce blood pressure compared to a placebo? (B)</p> Signup and view all the answers

In a within-subjects design, what is a key methodological concern that researchers must actively address to ensure the validity of their findings?

<p>Order effects or carry-over effects (C)</p> Signup and view all the answers

How does a mixed-subjects design MOST distinctly differ from a between-subjects design?

<p>Mixed designs incorporate both within-subject and between-subjects variables, while between-subjects designs only have between-subjects variables. (C)</p> Signup and view all the answers

A researcher is investigating the impact of two different types of instructional methods on student test scores. Students within the same classroom are divided into two groups; one group receives Method A, and the other receives Method B. Test scores are measured at the beginning and end of the semester. What type of experimental design is this?

<p>Mixed-subjects design (A)</p> Signup and view all the answers

In a study comparing the effectiveness of three different types of cognitive training programs on memory recall, what strategy is used in a within-subjects design to control for potential order effects?

<p>Administering all three training programs to each participant in a counterbalanced order (D)</p> Signup and view all the answers

A study investigates the impact of three different presentation formats (visual, auditory, combined) on information retention. If each participant is exposed to all three presentation formats, what type of design is being employed?

<p>Within-subjects design (D)</p> Signup and view all the answers

A researcher is studying the impact of a new medication on reaction time in a group of participants with ADHD. They measure each participant's reaction time before and after administering the medication. This is an example of what type of study design and what is the independent variable (IV)?

<p>Within-subjects design; IV: Medication (D)</p> Signup and view all the answers

In a study examining the impact of a brief mindfulness intervention on test anxiety, some participants receive the intervention, while others do not. All participants complete an anxiety assessment before and after the intervention. Which of the following correctly identifies the independent variables?

<p>IVs: Intervention group and time; DV: Anxiety level (B)</p> Signup and view all the answers

What is the key distinction between longitudinal and cross-sectional research designs?

<p>Longitudinal studies examine changes within the same individuals over time, while cross-sectional studies compare different individuals at a single point in time. (A)</p> Signup and view all the answers

What is the main drawback of using 'treatment as usual' as a control condition in experimental group designs if it is not clearly defined?

<p>The control group's actual treatment is unknown, reducing confidence in attributing effects to the independent variable. (A)</p> Signup and view all the answers

A researcher is interested in investigating the cognitive changes associated with healthy aging. They enroll a group of 65-year-old adults and assess their memory, attention, and processing speed every five years for a total of 15 years. What type of study is this?

<p>Longitudinal study (D)</p> Signup and view all the answers

When is it generally acceptable to consider a result a 'trend' or 'approaching significance'?

<p>When the p-value is between 0.06 and 0.10. (D)</p> Signup and view all the answers

In experimental research, what is the role of the experimenter regarding the independent variable?

<p>The experimenter actively controls or manipulates the independent variable. (B)</p> Signup and view all the answers

In an independent t-test, what does the t-statistic directly quantify?

<p>The magnitude of the difference between group means relative to the variability within the groups. (B)</p> Signup and view all the answers

Under what conditions might a researcher opt for a quasi-experimental design over a true experimental design?

<p>When random assignment is not feasible or ethical. (A)</p> Signup and view all the answers

What is a key limitation of quasi-experimental designs compared to true experimental designs that affects the interpretation of results?

<p>They have reduced internal validity, which lowers confidence in cause-and-effect conclusions. (C)</p> Signup and view all the answers

A quasi-experimental study is conducted where different nursing homes are randomly assigned to receive a staff training program. The number of days clients wear hearing aids will be recorded. What aspect of this design is quasi rather than fully experimental?

<p>Random assignment is performed at the group level (nursing home) rather than at the individual client level. (A)</p> Signup and view all the answers

What is the purpose of testing the null hypothesis (H0: μ1 = μ2) in an independent t-test?

<p>To determine if there is enough evidence to conclude that the two population means are different. (D)</p> Signup and view all the answers

What is the MOST significant threat to the validity of quasi-experimental design A, where there is no control group or condition?

<p>The absence of a point of comparison, making it difficult to attribute changes to the intervention. (C)</p> Signup and view all the answers

Given that an independent t-test yields a t-statistic larger than the critical value at a significance level of α = 0.05, which of the following is the MOST appropriate conclusion?

<p>Reject the null hypothesis and conclude that there is evidence of a significant difference between the group means. (D)</p> Signup and view all the answers

In quasi-experimental designs, what is the primary reason for matching groups on critical parameters like age or SES?

<p>To ensure that the groups are as similar as possible on key characteristics, reducing potential confounding variables. (A)</p> Signup and view all the answers

When comparing the effectiveness of four different methods for teaching reading (more than 2 groups), what is the primary advantage of using a one-way ANOVA over conducting multiple independent t-tests?

<p>ANOVA reduces the risk of Type I error (false positive) compared to performing multiple t-tests. (A)</p> Signup and view all the answers

What benefit does randomization provide to experimental group designs?

<p>It balances intrinsic variability among participants between control and experimental groups, minimizing error. (D)</p> Signup and view all the answers

A researcher is studying whether the type of hearing loss (conductive, sensorineural, mixed) impacts speech discrimination skills. Which assumption is relevant to choosing a one-way ANOVA for analyzing the data?

<p>The variances of speech discrimination scores are approximately equal across the three types of hearing loss. (C)</p> Signup and view all the answers

In a between-subjects design, if multiple measures are taken, how are comparisons typically made?

<p>All comparisons are made between separate groups of participants. (C)</p> Signup and view all the answers

In a scenario where you want to determine if there is a relationship between living in different communities and having cancer, and you are collecting nominal data (e.g., the percentage of people in each community with cancer), which statistical test is MOST appropriate?

<p>Chi-Square test for Two Independent Samples (C)</p> Signup and view all the answers

In the context of experimental designs, what do 'N' and 'n' represent?

<p>'N' represents the total number of participants in the study, and 'n' represents the number of participants in each group. (A)</p> Signup and view all the answers

You want to compare the ratings of perceived hoarseness (on a 5-point scale) between people with vocal nodules and people with vocal polyps. Which statistical Test is MOST appropriate?

<p>Mann-Whitney U test (C)</p> Signup and view all the answers

When selecting between parametric and nonparametric tests, what BEST describes the impact of the distribution of the dependent variable (DV)?

<p>Parametric tests assume the DV is normally distributed, while nonparametric tests are suitable for non-normally distributed DVs. (D)</p> Signup and view all the answers

In statistical testing, how does the homogeneity of variance assumption primarily influence the choice between parametric and nonparametric tests?

<p>Parametric tests assume equal variances across groups, while nonparametric tests are used when this assumption is violated. (C)</p> Signup and view all the answers

How does sample size ('N') typically influence the choice between parametric and nonparametric statistical tests, all other assumptions being equal?

<p>Parametric tests are generally more robust with larger sample sizes, while nonparametric tests may be preferred when dealing with small sample sizes. (A)</p> Signup and view all the answers

A researcher is designing a study with a small sample size and suspects that the data may not be normally distributed. Which type of statistical test would be MOST appropriate in this scenario?

<p>A nonparametric test, due to its suitability for non-normal data and small samples. (B)</p> Signup and view all the answers

How do degrees of freedom (df) directly impact the outcome of a statistical test?

<p>Degrees of freedom influence the critical value used to determine statistical significance. (A)</p> Signup and view all the answers

How does an increase in degrees of freedom (df) generally affect reaching statistical significance, assuming other factors remain constant?

<p>It makes it easier to reach significance because the critical value decreases. (B)</p> Signup and view all the answers

A researcher is investigating the impact of hearing aid use on both speech recognition scores and subjective client satisfaction. What type of analysis is MOST appropriate for this study?

<p>Multivariate analysis (MANOVA) because there are multiple dependent variables. (D)</p> Signup and view all the answers

What is the defining characteristic of a factorial design?

<p>The investigation of more than one independent variable. (A)</p> Signup and view all the answers

A study aims to compare the effectiveness of two different reading interventions (Intervention A and Intervention B) on both reading fluency and reading comprehension. What type of design is this?

<p>Multivariate design. (B)</p> Signup and view all the answers

In a study comparing the effectiveness of a new drug versus a placebo on anxiety levels, what key assumption of the independent t-test is MOST directly threatened if participants in the drug group are significantly more anxious at baseline?

<p>Independent groups (C)</p> Signup and view all the answers

A researcher is studying the effects of two independent variables: type of therapy for aphasia (group vs. individual) and the time post-stroke (acute vs. chronic), one a measure of functional communication skills. What term BEST describes this study design?

<p>Factorial design (B)</p> Signup and view all the answers

A researcher is investigating the impact of a new teaching method, but the classes being compared have substantially different numbers of students. What aspect of the independent t-test is of MOST concern in this scenario, and what might be a suitable solution?

<p>Equal 'n'; consider weighting the data or using a modified t-test. (D)</p> Signup and view all the answers

Researchers aim to examine the impact of a staff training program on the use of hearing aids by residents in nursing homes. They randomly assign some nursing homes to receive staff training and others not, then measure hearing aid usage. What aspect of the study design is MOST crucial for ensuring the validity of an independent t-test in this context?

<p>Guaranteeing that the residents in different nursing homes are independent of each other. (B)</p> Signup and view all the answers

In a study using an independent t-test, the p-value is slightly above the significance level (alpha = 0.05). The researchers decide to increase their sample size. What assumption of the independent t-test is MOST relevant to revisit, considering the potential impact of a larger 'n'?

<p>Normality (D)</p> Signup and view all the answers

In a study comparing the effectiveness of two different treatments (A and B) on patient recovery time, the data for treatment A is normally distributed, but the data for treatment B is heavily skewed due to a few patients experiencing significantly prolonged recovery. What is the MOST appropriate course of action, and why?

<p>Switch to a non-parametric test, such as the Mann-Whitney U test, because it does not assume normality. (D)</p> Signup and view all the answers

In a within-subjects design, when participants are exposed to multiple conditions, what is the primary concern that researchers must address to ensure the validity of their results?

<p>Minimizing order effects or carry-over effects that may influence participant responses. (C)</p> Signup and view all the answers

A researcher is investigating the effectiveness of a new language therapy technique. Participants are assessed at baseline, after 6 weeks of the new therapy, and again after a 6-week follow-up period. What design does this exemplify?

<p>Within-subjects design (C)</p> Signup and view all the answers

A researcher is investigating the effectiveness of a new intervention designed to improve articulation skills in children with apraxia of speech. They measure each child's articulation accuracy before and after the intervention. What non-parametric test is MOST appropriate for analyzing the data?

<p>Wilcoxon Signed-Rank test (C)</p> Signup and view all the answers

A study aims to compare the effectiveness of two different reading interventions on the reading comprehension scores of students with dyslexia. Students are paired based on their pre-intervention reading scores, and one student from each pair is randomly assigned to each intervention. What statistical test is BEST suited for analyzing the post-intervention reading comprehension scores?

<p>Paired t-test (A)</p> Signup and view all the answers

In a study examining the impact of different interventions on reducing stuttering frequency, some participants receive Treatment A, while others receive Treatment B. Stuttering frequency is measured at baseline and post-treatment for both groups. What type of experimental design is this?

<p>Mixed-subjects design (D)</p> Signup and view all the answers

A clinician wants to determine if there is a significant difference in the number of errors made by the same group of participants when producing words in isolation versus in sentences. Assuming the data meets parametric assumptions, which statistical test is the MOST appropriate?

<p>Paired t-test (C)</p> Signup and view all the answers

A school district is struggling with low reading scores and decides to implement a new reading program in one of its schools while continuing with the standard program in another. Reading levels are measured at the beginning and end of the school year. What type of research design does this exemplify?

<p>Quasi-Experimental Design (C)</p> Signup and view all the answers

A researcher aims to study the development of language skills in children from ages 3 to 10. They recruit a group of 3-year-olds and follow them annually, assessing their language abilities each year until they turn 10. What type of study design is this MOST likely to be?

<p>Longitudinal (D)</p> Signup and view all the answers

Researchers are investigating the effect of a new language therapy program on the sentence complexity of children with Specific Language Impairment (SLI). Sentence complexity is measured using Mean Length of Utterance (MLU). Each child's MLU is measured before and after the therapy program. Which assumption is LEAST critical for using a paired t-test to analyze the data?

<p>The two groups (pre-therapy and post-therapy) must have independence of observations. (A)</p> Signup and view all the answers

Researchers aim to determine if there is a relationship between early childhood language delays and later academic performance. After identifying adolescents with documented language delays in their early childhood records, they assess their current academic achievements. What type of study design is this?

<p>Retrospective (D)</p> Signup and view all the answers

A researcher is studying the effectiveness of two different fluency-shaping techniques on reducing stuttering frequency. Each participant's stuttering frequency is measured during a baseline condition, after receiving Technique A, and after receiving Technique B. What statistical test is MOST appropriate for comparing the stuttering frequency across these three conditions within the same group of participants, assuming parametric assumptions are met?

<p>One-Way Repeated Measures ANOVA (D)</p> Signup and view all the answers

In a standard treatment study design comparing a treatment group to a control group with pre- and post-testing, what type of design is being utilized?

<p>A mixed-subjects design. (B)</p> Signup and view all the answers

A researcher wants to investigate the impact of varying noise levels on speech recognition scores. Each participant is tested at three noise levels that are presented in random order. What type of experimental design is the researcher using?

<p>Within-subjects Design (D)</p> Signup and view all the answers

In experimental designs, what is the purpose of manipulating the independent variable?

<p>To observe and measure its effect on the dependent variable. (C)</p> Signup and view all the answers

A researcher is investigating the effectiveness of two different teaching methods (Method A and Method B) on student test scores. Students are randomly assigned to one of the two teaching methods. What BEST describes 'N' and 'n' in this study?

<p>'N' represents the total number of students in the study, and 'n' represents the number of students in each teaching method group. (B)</p> Signup and view all the answers

In a study comparing the effects of two independent interventions on multiple outcome measures, why might a researcher choose to use Hotelling's T2 instead of running multiple independent t-tests?

<p>Hotelling's T2 adjusts for the correlation between the multiple outcome measures, reducing the risk of Type I error. (C)</p> Signup and view all the answers

A research team is investigating the impact of three different therapy approaches on both articulation accuracy and speech intelligibility in preschool children. What statistical analysis is the MOST appropriate for this study?

<p>A Multivariate Analysis of Variance (MANOVA). (D)</p> Signup and view all the answers

Following a significant MANOVA result, what is the primary reason for conducting follow-up univariate ANOVAs?

<p>To determine which specific dependent variables contributed significantly to the overall group differences. (B)</p> Signup and view all the answers

In a MANOVA comparing outcomes across four groups, a significant overall effect is found. Why are post-hoc tests necessary after the follow-up univariate ANOVAs?

<p>To control for inflated Type I error rates when performing multiple pairwise comparisons between group means on a single dependent variable. (A)</p> Signup and view all the answers

A researcher is investigating the impact of different aural rehabilitation programs (none, group, telepractice) on both knowledge of hearing aid features and compliance. After running a MANOVA, how would you determine if there were significant differences between the 'telepractice' and 'group' aural rehab groups specifically on 'compliance'?

<p>Conduct a post-hoc t-test comparing the two groups on the compliance variable, following a significant univariate ANOVA for compliance. (C)</p> Signup and view all the answers

Flashcards

P-value between .06 and .10

A trend or approaching significance.

Group Design

Data from individuals are combined for analysis.

Experimental Research

Active control of independent variable by experimenter.

Single-Subject Design

Individuals' data are analyzed separately.

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Experimental Group Designs

Manipulation of IV, random assignment, and control group.

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Quasi-Experimental Designs

Lacks random assignment or a control group.

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Increase Validity (Quasi-experiments)

Randomly decide which group gets treatment, describe subjects carefully, test for equivalence.

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Random Assignment Purpose

Balances noise, so differences are due to the IV.

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Between Subjects Design

Separate groups are sampled only once.

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Within Subjects Design

Participants are sampled on the same measure more than once.

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Univariate Design

A type of study design with one independent variable.

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Independent t-test

A statistical test comparing the means of two independent groups.

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Continuous Data

Data that can take on any value within a range and has equal intervals (e.g., temperature, height).

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IV & DV Example

The IV is parent information night attendance (yes/no); the DV is the number of missed appointments.

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Ratio Data

Data where the intervals between values are equal and there is a true zero point.

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Parametric Tests

Tests that assume the data follows a specific distribution (usually normal) and has homogeneity of variance.

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Nonparametric Tests

Tests that do not assume a specific distribution of the data and are suitable for nominal or ordinal data.

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Degrees of Freedom (df)

The extent to which values in a statistical calculation are free to vary.

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Homogeneity of Variance

When the spread (variance) of data is similar across different groups being compared.

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Within-Subjects Design (Time)

Compares one group's data at different time points.

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Within-Subjects Design (Related)

Compares related participants (e.g., siblings) on a specific measure.

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Within-Subjects Design (Conditions/Measures)

Compares a single group's performance across multiple conditions or measures.

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Mixed Design

Contains both between-subjects and within-subjects variables in the same study.

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Standard Treatment Study

Examines effects of an intervention by comparing a treatment group to a control group at pre-test and post-test.

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Dependent Variable (DV)

The variable being measured or observed in a study.

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Independent Variable (IV)

The variable that is manipulated or changed by the researcher.

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Longitudinal Study

Data collected from the same individuals over a long period of time

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Cross-Sectional Study

Data collected at a single point in time from different groups representing different age groups.

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One-way ANOVA

A statistical test used to compare the means of two or more groups.

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Total df

Degrees of freedom related to the total number of observations.

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Group df

Degrees of freedom related to the number of groups being compared.

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Error df

Degrees of freedom related to the error (or residual) variance.

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Post-hoc testing

A statistical test to determine which groups differ significantly after a significant ANOVA result.

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Non-parametric Analyses

Statistical tests used when data does not meet assumptions required for parametric tests.

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t-test Degrees of Freedom

Degrees of freedom in an independent t-test, calculated as the sum of each group's sample size minus one.

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Null Hypothesis (Independent t-test)

The hypothesis that two population means are equal.

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Rejecting Null Hypothesis

Rejecting the null hypothesis when the t-statistic exceeds a critical value at a specified significance level.

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Mann-Whitney U test

Used for comparing two independent groups with ordinal data, providing a U statistic.

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Wilcoxon rank sum test

Used for comparing two independent groups with ordinal data, resulting in a Z statistic.

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Chi-Square Test (Independent Samples)

Comparing two independent samples with nominal (categorical) data, producing a chi-square statistic.

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Order Effect

Order of treatments might affect the outcome. Counterbalancing helps control this.

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Prospective Study

A study where data is collected before the events of interest have occurred.

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Retrospective Study

A study where data is collected about past events or conditions.

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Hotelling's T2

A multivariate test used to compare two independent groups on multiple dependent variables.

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Post-hoc tests (Multivariate)

Tests performed after a significant multivariate test to determine which specific dependent variables differ significantly between groups.

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Multivariate Analysis of Variance (MANOVA)

A multivariate test used to compare more than two independent groups (from one IV) on multiple dependent variables.

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Wilk's lambda, Roy's largest root, Pillai's trace

Common statistical measures used in MANOVA to assess the significance of group differences.

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Univariate ANOVAs (MANOVA follow-up)

Following a significant MANOVA, these are used to determine which dependent variables show significant differences between groups.

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Independent t-statistic

Statistic based on group mean relationship and variance, with df = (n1-1) + (n2-1).

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Null Hypothesis (t-test)

States there is no significant difference between two population means (μ1 = μ2).

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Alternative Hypothesis (t-test)

Indicates a significant difference exists between group means (μ1 ≠ μ2) if the null hypothesis is rejected.

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Chi-Square Test (Independent Groups)

Used to analyze two independent groups with nominal (categorical) data, producing a χ2 statistic.

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One-way ANOVA (Between Subjects)

Used to test for mean differences with 3 or more levels on one DV, and is more efficient than multiple t-tests.

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Experimental Group Design Requirements

Control of IV, random assignment, appropriate control group.

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Quasi-experiment (no control)

No comparison group; all participants experience IV.

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Quasi-experiment (no randomization)

Possibly non-equivalent groups; no random assignment.

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Boosting Quasi-Experiment Validity

Randomize treatment, describe subjects, test equivalence, match groups.

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Random Assignment Benefit

Balances variability; assumes group difference is IV result.

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'N' Meaning

Total # participants in a study.

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'n' Meaning

participants in EACH group.

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Within-Subjects (Repeated Measures)

Participants measured on the same measure more than once.

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Factorial Designs

Designs with more than one independent variable.

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Multivariate Factorial Design

Designs with more than one independent variable and more than one dependent variable.

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Univariate

Only one dependent variable is measured.

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Multivariate

More than one dependent variable is measured.

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Degrees of Freedom (Reporting)

The reported degrees of freedom after a statistic.

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t-test Assumptions

Data is interval or ratio, normal distribution, homogeneous variance, large n, equal n.

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Multivariate Designs

Studies examining multiple independent variables or multiple dependent variables at the same time.

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Independent t-test Basis

Compares two independent group means, assuming variances are unequal.

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Independent t-test df

The sum of each group's sample size minus one: (n1 – 1) + (n2 – 1).

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Reject Null Hypothesis

Reject if the test stat is greater than the critical value.

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Mann-Whitney U

Used for comparing two independent groups with ordinal data.

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Wilcoxon Rank Sum

Used for comparing two independent groups with ordinal data.

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Chi-Square Test (2 Groups)

Used for nominal data.

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ANOVA Purpose

Tests mean differences with three or more levels of a single independent variable.

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ANOVA Assumptions

Data on an interval or ratio scale, normally distributed and with equal variances.

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df Importance

Essential to find critical value. Influenced by participant count and the number of independent values.

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Number of Levels

The number of categories or levels for a variable.

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Order or Carry-Over Effects

Threats to internal validity due to the sequence of treatments.

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Between-Subjects IV Example

Variables manipulated between-subjects: hearing level.

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Within-Subjects IV Example

Variables manipulated within-subjects: type of hearing aid.

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Homogeneous Variance

A statistical assumption where the variance in each of the groups is equal.

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Kruskal-Wallis Test

A non-parametric test comparing more than two independent groups with ordinal data. Like a 1-way ANOVA, but for non-parametric data.

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Chi-Square (K Samples)

A non-parametric test for comparing K (more than 2) independent samples with nominal data.

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Paired t-test

Used to compare two dependent groups, focusing on the difference within each pair.

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Paired t-test Assumptions

Continuous (interval/ratio), normally distributed, homogeneous variance, large n, equal n, dependent groups, random sample.

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IV & DV

An independent variable (IV) is what is changed or manipulated in an experiment. A dependent variable (DV) is what is measured. Example: IV=type of therapy; DV=client satisfaction

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Post-hoc tests (Hotelling's T2)

Following a significant Hotelling's T2, these tests pinpoint which dependent variables differ significantly between the groups.

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